Artificial Intelligence and Machine Learning for Risk Prediction of Abdominal Aortic Aneurysm Growth and Rupture.

Area of Science:

• Vascular Surgery
• Medical Imaging
• Artificial Intelligence

Background:

• Abdominal aortic aneurysms (AAA) pose significant health risks.
• Current management relies on imaging and risk stratification.
• Advanced computational tools are needed for improved prediction.

Purpose of the Study:

• To review the application of artificial intelligence (AI) and machine learning (ML) in predicting abdominal aortic aneurysm (AAA) growth and rupture.
• To critically analyze the methodologies of existing AI/ML models for AAA risk assessment.
• To identify limitations and propose future research and clinical implementation strategies.

Main Methods:

• Narrative review of studies utilizing AI/ML for AAA risk evaluation.
• Analysis of imaging analysis and prediction models.
• Critical assessment of methodologies, current limitations, and future directions.

Main Results:

• AI/ML models show promise in advanced imaging analysis for AAA.
• These tools can aid in predicting AAA growth and rupture risk.
• Current research highlights the potential but also identifies limitations in methodology and data.

Conclusions:

• AI and ML are emerging as valuable tools in AAA management.
• Further research is needed to refine models and address limitations for clinical integration.
• Future directions include enhancing prediction accuracy and surgical practice implementation.